Database Administrator - Edinburgh, United Kingdom - Morningstar
Description
Database Administrator - Oracle or SQL
The Group
At Morningstar, we strive to Empower Investor Success.
We tirelessly pursue new ways to combine our data and research with design and technology to help solve investors' needs.
Our solutions pave the way for investors to achieve their goals with confidence.
The Morningstar Wealth Platform allows investors and advisers to collaborate through their financial journey with seamless and enjoyable digital experiences.
By learning through data and engagement, we build products and offer services that connect people to the financial information and tools they need.
Our mission is to enhance the education, engagement, and experience for the investor.The Role
We are looking for a talented Database Administrator to work within one of our central teams, partnering with team members from Product, Design and Engineering.
Mentoring and coaching wider data colleagues and peers will be a core part of the role as we grow and build the team.
You will tackle interesting, novel situations every day and you'll have the opportunity to partner with multiple product teams at Morningstar in order to deliver exceptional service to the Wealth Platform business.
You will have the satisfaction of being able to deliver value to customers in a fast-paced, iterative environment, as well as look back and say you were a big part of something truly innovative from the earliest stages.
Requirements:
- Previous experience as a DBA either Oracle DBA or SQL DBA
- Deep understanding of databases, maintenance and change
- Strong leadership skills to prioritise and manage the ongoing development of the platform
- Fast and Curious learner, with a restless curiosity for analysing and understanding data
- Ability to look holistically at opportunities to understand the implications for a multitude of stakeholders
- Experience and understanding of Agile Development methodologies, including Scrum.
- Knowledge of relational and nonrelational databases, with Machine learning/ AI modelling is useful however not mandated
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